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Paper Citation Record · LEDGER

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.06517.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.06517 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:10:01.390805Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f23e687-b51d-4007-9a7d-c401816796f0 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 1

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Observation dd74c056-2c14-4c44-8a9b-ab95831d2caf · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-06T19:10:01.149847Z digest=sha256:96c794afe24af234ead30c4b271a088b682721af667cac917ee51d208cd8ddbc

Observation d2058252-854e-40fc-83a4-e0e736a0a99c · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-06T19:10:01.159355Z digest=sha256:e2fadd274d1c4cb54eb21e1059b62eb0e51e3f7167c6d2422443fb6c6f99a724

Observation 909506b7-faec-4605-9ec8-43fbedf0c25a · outbound

This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 4

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source=arxiv_source observed=2026-08-06T19:10:01.168058Z digest=sha256:e1a0ac2a4c42eec731ac26fd4d627e92f57814712eabc0f13875d70190d01ccf

Observation 0948fccb-6ff9-4cde-894b-3291a937a64e · outbound

This paper cites The Llama 3 Herd of Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers The Llama 3 Herd of Models

Reference 5

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source=arxiv_source observed=2026-08-06T19:10:01.174335Z digest=sha256:8595b0fde7fac8d52e76dceddc7d539f82607a6d0ec752958d5de5c524df3d70

Observation 18d9c572-7fdc-4e8b-bcc0-0d3fa60daa9b · outbound

This paper cites ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

Reference 6

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source=arxiv_source observed=2026-08-06T19:10:01.179964Z digest=sha256:67f52cbbb75d1234b770cd0d79705682610eadb14a7d34697678a6a6db87402c

Observation f927478e-2834-44c1-a324-84b6c04986a9 · outbound

This paper cites Mistral 7B.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Mistral 7B

Reference 7

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source=arxiv_source observed=2026-08-06T19:10:01.187348Z digest=sha256:17284fe4aa2480959498d305ecc62deb19bf2fac05b387c12936fa57b8333a43

Observation a9a09754-ce12-4f78-a4eb-768cfbd703a5 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-06T19:10:01.195409Z digest=sha256:0e98961bdb4b9aa494a771f6c4fb3393eba66139a4fd8f9831d9ad20d1325cd2

Observation cfa7e96e-266d-4d86-a1be-924418abc8ab · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers SnapKV: LLM Knows What You are Looking for Before Generation

Reference 9

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source=arxiv_source observed=2026-08-06T19:10:01.203208Z digest=sha256:72f547303886bee6b312deb8355cd2a9e0c95da86ab2190ee2b2defd3fbadb54

Observation 338b3950-8251-4c0f-99be-28abbd3377f5 · outbound

This paper cites MiniCache: KV Cache Compression in Depth Dimension for Large Language Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

Reference 10

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source=arxiv_source observed=2026-08-06T19:10:01.211946Z digest=sha256:04c452a1593041b00df909c1f15ecd00b0b20076f98782abd85781218e7e5876

Observation 9fdba2e3-31ff-42f0-8175-5110e941edf5 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-06T19:10:01.219768Z digest=sha256:c114d314c8cef3dfbf4af76010d9ce7c4e2ce66d05a31d6ddebd679cdd84d359

Observation c95eb433-c79e-41b0-ad08-0d5889a4ebb0 · outbound

This paper cites Model Hemorrhage and the Robustness Limits of Large Language Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Model Hemorrhage and the Robustness Limits of Large Language Models

Reference 12

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source=arxiv_source observed=2026-08-06T19:10:01.234102Z digest=sha256:1d8e1faab2223c72ba95ed738892f657a6003afb1a071f1ae78909f421ca3327

Observation d6de484d-3952-42d4-bd55-90adf7f0a6a8 · outbound

This paper cites GPT-4 Technical Report.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers GPT-4 Technical Report

Reference 13

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source=arxiv_source observed=2026-08-06T19:10:01.240080Z digest=sha256:a9b09ffb661f80f762fe6448a0f5cd4fb11c14ca0c9e6d083f33b3f297e25fdd

Observation cedb03dc-0ed5-417f-b6fe-93a3f06cca24 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Code Llama: Open Foundation Models for Code

Reference 14

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source=arxiv_source observed=2026-08-06T19:10:01.245546Z digest=sha256:8bf66071553ace487c7d7976d1c702cc1638313ebc04d6b0cb4e6c569e0d90c5

Observation 5d68095d-1839-48b6-bb9b-f6b7f9013ff1 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Fast Transformer Decoding: One Write-Head is All You Need

Reference 15

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source=arxiv_source observed=2026-08-06T19:10:01.252625Z digest=sha256:d087c7aa93599e65aad48a4a9489c559e619392d8a067366eda38d6a6bbe6c41

Observation 66924c83-215c-41d0-b708-5ffa2f2154c6 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-06T19:10:01.259075Z digest=sha256:06f1e4d66db31af06f31a9346edde5ab9f75cd7b271b66fa06a30ecae8963948

Observation 3052772c-d3e2-4298-a07d-dbd0d9d2fce4 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-06T19:10:01.266524Z digest=sha256:fcc462a235bb10336c2440218bdbe577c15496a60e3d475da21c4db87d2346ec

Observation 34f513a7-45ee-4117-9607-8b2ff82b929e · outbound

This paper cites Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption

Reference 18

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source=arxiv_source observed=2026-08-06T19:10:01.272177Z digest=sha256:749c66fb0947b3ca179e7eca747e98c9e9a6bc9aac0a28b8759336907b5dccd3

Observation a16d05fe-7f1f-41ff-bfe8-b04508726fb9 · outbound

This paper cites AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations

Reference 19

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source=arxiv_source observed=2026-08-06T19:10:01.279099Z digest=sha256:2855597f0444f689a5502dc2cba644e4ce026601b9c67171a5439dfa99b2b260

Observation a5583f0b-12c2-4186-8b24-9606c559e13f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 20

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source=arxiv_source observed=2026-08-06T19:10:01.285988Z digest=sha256:503572ad07d3a1118f02a41b66411589bc74c2aed5c263fc7f84f64e14ecf4fa

Observation e7596169-23e7-4742-955b-2e4a21a5c4fa · outbound

This paper cites D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models

Reference 21

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source=arxiv_source observed=2026-08-06T19:10:01.293262Z digest=sha256:210c51d6524a8226fe1b649562f232f7b4549bf04be6a318f4987d5316bf2680

Observation dd288fb9-7a4b-4fb8-b39a-a5dab284f6bb · outbound

This paper cites Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks

Reference 22

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source=arxiv_source observed=2026-08-06T19:10:01.298502Z digest=sha256:4336288f747209106ac0efa20f16c6b02e16729363de31d106dbe22db5d78047

Observation 12ddd718-c7ce-4e1d-aa7f-fba1157d9910 · outbound

This paper cites Chi, Quoc V.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Chi, Quoc V

Reference 23

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Observation 598a83f7-34fb-43d5-9443-2987dcd35c1d · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-06T19:10:01.311005Z digest=sha256:9474a08b020ba2eab4a344fb40bed4c136bb09f5695c11bdefc52d74fa5462d6

Observation ac18d532-b1fb-41e0-bca9-3365bec40329 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-06T19:10:01.316923Z digest=sha256:37c858b0799c81a5ff4c17dec451a4cd858ebebb189fdfcc1d0a0f3f169633a7

Observation 62fb2d66-e718-45ca-931f-b3977f2d1a89 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 26

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source=arxiv_source observed=2026-08-06T19:10:01.321670Z digest=sha256:f66f090368833697b82bd0e0417ee599f7c29d71709290bd340c7fa25021b59a

Observation cc068d4b-028d-4e40-aeb8-fa23a8cb2e7f · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-06T19:10:01.327165Z digest=sha256:3362634b5659212ea3e1086991a5da85427dc5365dc568e71fd7c52a9eda25fa

Observation e3b232ec-8ee1-41d4-bc37-ec79c6e23609 · outbound

This paper cites No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization

Reference 28

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Observation 8b3b2c85-1c67-4692-8799-445c095d568e · outbound

This paper cites BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers BatGPT-Chem: A Foundation Large Model For Retrosynthesis Prediction

Reference 29

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Observation 07873f95-ec27-4261-9456-7458ae1c2872 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 30

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Observation c0dc3682-d4ee-42ea-bc80-c6e869a2ab90 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 31

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source=arxiv_source observed=2026-08-06T19:10:01.347645Z digest=sha256:3ab5e7f9126597711583fb1207ac82a393a087df619a92138ad6d11f3573f09a

Observation 27186367-5797-4737-961a-b045ba22433b · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-06T19:10:01.352699Z digest=sha256:5cf1c3fd57f62aebbbd6370c00b386e67405c5296aa68dc2e48ca27f383bf2fb

Observation a4760a97-6ed4-440c-a581-008cf9b4c222 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-06T19:10:01.359336Z digest=sha256:35c2efb1026f67850fe13ab32fa9218562c5215423f8d2fe00b9e9d734cc8bdd

Observation 881219f6-dd4c-46bd-bba7-279f8ef78d02 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers OPT: Open Pre-trained Transformer Language Models

Reference 34

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source=arxiv_source observed=2026-08-06T19:10:01.365544Z digest=sha256:df0c3a99577e468986266f1e20aa9fa8362874f57b7b306120bce85818c0ab18

Observation 6fb9500a-4b9b-43bd-b9e4-c8d4a40a5711 · outbound

This paper cites an unresolved cited work.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Unresolved cited work

Reference 35

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Observation 2a58ea80-198c-4d79-91a5-87f34443b4d2 · outbound

This paper cites Barrett, Zhangyang Wang, and Beidi Chen.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers Barrett, Zhangyang Wang, and Beidi Chen

Reference 36

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source=arxiv_source observed=2026-08-06T19:10:01.377937Z digest=sha256:d00d5cac65ae572cee10ca31dc7c915b65a07cd92855caf0c021a4f2e70b98ef

Observation 17425d81-1528-4a3d-b696-ece85a124c6f · outbound

This paper cites online" 'onlinestring :=.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers online" 'onlinestring :=

Reference 37

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source=arxiv_source observed=2026-08-06T19:10:01.384792Z digest=sha256:f509de68352feabf834b4296f7bfcf69310456ed03517d82d77b3fab28dac94b

Observation 97ec6cba-9c59-477b-9854-08077b409f24 · outbound

This paper cites write newline.

SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers write newline

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